Alessandro Rozza

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #9,535 of 35,345 by trust here, #7,657 by citations
• Computer Vision and Pattern Recognition — 26 citations into it; #6,992 of 21,575 by trust here, #5,507 by citations
• Optimization & Training — 15 citations into it
• Graph Learning — 12 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 7 citations into it

Whom Alessandro Rozza trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Yoshua Bengio
6. Sepp Hochreiter
7. Ilya Sutskever
8. Diederik P. Kingma
9. J. Urgen Schmidhuber
10. X. Zhang

Who trusts Alessandro Rozza overall

1. Hwanjun Song
2. Dan Hendrycks
3. Xiaobo Xia
4. Yisen Wang
5. Xingjun Ma
6. Bo Han
7. Pengfei Chen
8. Arash Vahdat
9. Tongliang Liu
10. Yaoman Li

Papers from Alessandro Rozza's perspective

Ordered by how strongly the researchers Alessandro Rozza trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach (2016) — 1,704 citations
• Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data (2014) — 300 citations
• Dynamic Graph Convolutional Networks (2017) — 468 citations